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Algorithms for Quantum Machine Learning and Its Applications

FOCUS · M64 · ID: 1067442

Presentations

  • Machine Learning for Image Classification on a Trapped Ion Quantum Computer

    ORAL

    –

    Presenters

    • Jason Iaconis

      IonQ

    Authors

    • Jason Iaconis

      IonQ

    • Sonika Johri

      IonQ

    • Sang Hyun Kim

      IonQ

    • Sooncheol Park

      Hyundai Motor Company Institute of Advanced Technology Development

    • Sangtae Kim

      Hyundai Motor Company Institute of Advanced Technology Development

    • Hanlae Jo

      Hyundai Motor Company Institute of Advanced Technology Development

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  • New Approaches to Hamiltonian Simulation

    ORAL · Invited

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    Presenters

    • Nathan Wiebe

      University of Toronto, Pacific Northwest National Laboratory, University of Toronto, Pacific Northwest Natl Lab

    Authors

    • Nathan Wiebe

      University of Toronto, Pacific Northwest National Laboratory, University of Toronto, Pacific Northwest Natl Lab

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  • Quantum algorithms for approximate function loading

    ORAL

    –

    Publication: -G. Marin-Sanchez, J. Gonzalez-Conde, and M. Sanz, "Quantum algorithms for approximate function loading", ArXiv:2111.07933 (2021).<br>-J. Gonzalez-Conde, T. W. Watts, and M. Sanz, "Quantum algorithms for approximate complex function loading", In preparation (2023).

    Presenters

    • Javier Gonzalez-Conde

      University of the Basque Country UPV/EH

    Authors

    • Javier Gonzalez-Conde

      University of the Basque Country UPV/EH

    • Gabriel Marin-Sanchez

      University of the Basque Country

    • Mikel Sanz

      University of the Basque Country

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  • Feedback-based quantum algorithms

    ORAL

    –

    Presenters

    • Alicia B Magann

      Sandia National Laboratories

    Authors

    • Alicia B Magann

      Sandia National Laboratories

    • Kenneth Rudinger

      Sandia National Laboratories

    • Matthew D Grace

      Sandia National Laboratories

    • James B Larsen

      Brigham Young University

    • Christian Arenz

      Arizona State University

    • Andrew D Baczewski

      Sandia National Laboratories

    • Mohan Sarovar

      Sandia National Laboratories

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  • On nonlinear transformations in quantum computation

    ORAL

    –

    Publication: https://doi.org/10.48550/arXiv.2112.12307

    Presenters

    • Yigit Subasi

      Los Alamos National Laboratory

    Authors

    • Yigit Subasi

      Los Alamos National Laboratory

    • Zoe Holmes

      Los Alamos National Laboratory, École polytechnique fédérale de Lausanne

    • Nolan Coble

      University of Maryland, College Park

    • Andrew T Sornborger

      Los Alamos National Laboratory

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  • The efficient preparation of normal distributions in quantum registers

    ORAL

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    Publication: Grid-based methods for chemistry simulations on a quantum computer (https://arxiv.org/abs/2202.05864)<br>Preparing Arbitrary Continuous Functions in Quantum Registers With Logarithmic Complexity (https://arxiv.org/abs/2205.00519)<br>Application of Quantum Computers in Foreign Exchange Reserves Management (https://arxiv.org/abs/2203.15716)<br>Efficient quantum interpolation of smooth distributions (https://arxiv.org/abs/2203.06196)<br>Universal Statistical Simulator (https://arxiv.org/abs/2202.01735)

    Presenters

    • Pierre Minssen

      JPMorgan Chase

    Authors

    • Pierre Minssen

      JPMorgan Chase

    • Marco Pistoia

      JPMorgan Chase, New York, NY, USA, JPMorgan Chase, JP Morgan Chase

    • Yue Sun

      JPMorgan Chase

    • Arthur Rattew

      JPMorgan Chase

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  • Quantum Metropolis Solver: QMS

    ORAL

    –

    Publication: https://arxiv.org/abs/2208.05506

    Presenters

    • Roberto Campos Ortiz

      University Complutense

    Authors

    • Roberto Campos Ortiz

      University Complutense

    • Pablo Antonio M Casares

      .

    • Miguel Angel Martin-Delgado

      Complutense University of Madrid

    View abstract →